Creating a customized semantic space has never been so easy

Unsupervised machine learning methods are used to train the Retina’s semantic body of knowledge. has created several base Retina Databases which can be refined into domain- and jargon-specific databases using reference material (encyclopedia, ontologies, dictionaries), web content (by using semantic crawlers) or any other domain-specific text data.

Retina Databases at a glance

  • Any language and business domain
  • Training via unsupervised machine learning
  • No large training data sets required
  • Easy and transparent optimization through domain/business experts
  • Extension to Retina Library or Retina API
  • Contact [email protected] for more information